Linear (Community)

The Linear (Community) MCP server brings your Linear issue tracker directly into any AI agent workflow, letting Claude, GPT, Gemini, or other LLMs create, update, and search issues without leaving the chat or app they're already working in. Built on the Model Context Protocol, this community-maintained connector exposes Linear's core issue-tracking primitives — issues, projects, labels, and workspace search — as callable tools that an agent can invoke autonomously, turning natural-language requests like "open a bug for the checkout flow" into structured Linear tickets assigned to the right team and cycle.

When you host this Linear MCP server integration through BusinessMCP, it stops being a one-off connector and becomes part of a single, unified MCP endpoint at /api/mcp, authenticated with a Bearer mcph_* key. Instead of standing up and maintaining your own Linear MCP server, wiring OAuth scopes, and rotating tokens, you connect Linear once inside the growth-suite dashboard and every downstream agent — support bots, engineering copilots, sales-to-eng handoff automations — talks to the same hosted endpoint. Because the platform is model-agnostic, you can swap between Claude, GPT-4-class models, or Gemini without touching your Linear issue-tracking automation logic, and because it's cookieless and GDPR-friendly, it fits teams that need to keep AI tooling compliant while still automating project management.

Practically, this MCP server for Linear is aimed at product, engineering, and support teams that want AI agents to triage, file, and query issues without giving every tool full admin access to the workspace. An agent monitoring a customer Slack channel can search across the workspace for existing issues before creating a duplicate; a QA agent can bulk-create issues from a test run summary; a release-notes agent can pull recently completed issues by project or cycle. Paired with BusinessMCP's business-intelligence dashboard, engineering throughput data surfacing from Linear can sit next to revenue and ad-spend metrics pulled from other connected tools, giving founders and ops leads a single pane of glass instead of stitching together Linear exports, spreadsheets, and BI tooling by hand.

Because it's cataloged under Productivity alongside other issue and project-tracking connectors, teams often pair this Linear integration with adjacent tools in the same hosted MCP server — for example routing customer-reported bugs from a support tool into Linear, or cross-referencing Jira and Linear issues during a migration. The community label means this connector is actively maintained by the ecosystem rather than shipped directly by Linear, so BusinessMCP handles the versioning, uptime, and credential storage so your agents get a stable, always-on interface to issue creation, project visibility, and workspace search regardless of which underlying implementation is running behind the scenes.

For teams evaluating a Linear MCP server versus building custom API glue code, the hosted approach removes the operational burden: no separate server process to deploy, no manual token refresh, and no divergent integration code per AI agent. You get one authenticated endpoint, one place to audit which agents touched which issues, and a BI layer that turns raw issue activity into a metric you can actually act on.